Project description
Innovative risk assessment and screening method for colorectal cancer
The EU-funded DIOPTRA project aims to introduce a front-line screening tool that will consider risk factors and protein biomarkers for pinpointing individuals at a high risk for developing colorectal cancer (CRC). Tissue and blood samples will be examined for a discriminative set of prognostic proteins that are detectable via standard blood work and can indicate a need for further evaluation (i.e. colonoscopy). Other data (e.g. medical, behavioural) will also be considered as potential risk factors. AI will be leveraged for assessing prognostic power, while personalised behavioural changes will be promoted based on modifiable risk factors. Given the low citizen participation in CRC screening across the EU, DIOPTRA seeks to broaden the evaluated population, boosting participation rates and bypassing age screening thresholds.
Objective
DIOPTRA aims to introduce a front-line screening tool that will consider risk factors and protein biomarkers for pinpointing individuals at a high risk for colorectal cancer (CRC) incidence. Tissue & blood samples will be examined towards a discriminative set of prognostic proteins that are detectable via standard bloodwork and can indicate a need for further evaluation (i.e. colonoscopy). Other data (e.g. medical, behavioural) will also be considered as potential risk factors. Artificial intelligence (AI) will be leveraged for assessing prognostic power, while personalised behavioural change will be promoted based on modifiable risk factors. Given the low citizen participation on CRC screening across EU, DIOPTRA seeks to broaden the evaluated population, boosting participation rates and bypassing age screening thresholds. This action is part of the Cancer Mission cluster of projects on Prevention, including Screening.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
- natural sciencesbiological sciencesbiochemistrybiomoleculesproteins
- medical and health sciencesclinical medicineoncology
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Keywords
Programme(s)
- HORIZON.2.1 - Health Main Programme
Funding Scheme
HORIZON-RIA - HORIZON Research and Innovation ActionsCoordinator
106 82 ATHINA
Greece
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Participants (25)
1017 CD AMSTERDAM
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
45110 Ioannina
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1006 Riga
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
20121 Milano
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1253 Luxembourg
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166 75 GLYFADA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1097 Nicosia
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1715 Sofia
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1075 AT Amsterdam
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
1010 Nicosia
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
4000 Liege
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Vilniaus
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3030 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
2000 Maribor
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2100 Kbenhavn
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1000 Bruxelles / Brussel
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26443 PATRA
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
3001 Leuven
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
09006 Burgos
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10561 Athina
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50132 Limassol
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
11522 Athina
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8010 Graz
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7100 Vejle
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10000 Zagreb
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Partners (3)
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
8600 Dubendorf
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
6300 ZUG
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Partner organisations contribute to the implementation of the action, but do not sign the Grant Agreement.
CB2 0AH Cambridge
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.